SOTAVerified

Super-Resolution

Super-Resolution is a task in computer vision that involves increasing the resolution of an image or video by generating missing high-frequency details from low-resolution input. The goal is to produce an output image with a higher resolution than the input image, while preserving the original content and structure.

( Credit: MemNet )

Papers

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Showing 251–300 of 3874 papers

TitleStatusHype
Geodesic Diffusion Models for Medical Image-to-Image GenerationCode2
MR-EIT: Multi-Resolution Reconstruction for Electrical Impedance Tomography via Data-Driven and Unsupervised Dual-Mode Neural Networks—0
Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization—0
Continual Learning-Aided Super-Resolution Scheme for Channel Reconstruction and Generalization in OFDM Systems—0
InspireMusic: Integrating Super Resolution and Large Language Model for High-Fidelity Long-Form Music GenerationCode5
Delta-WKV: A Novel Meta-in-Context Learner for MRI Super-Resolution—0
MFSR-GAN: Multi-Frame Super-Resolution with Handheld Motion Modeling—0
BadRefSR: Backdoor Attacks Against Reference-based Image Super ResolutionCode0
MFSR: Multi-fractal Feature for Super-resolution Reconstruction with Fine Details Recovery—0
CondiQuant: Condition Number Based Low-Bit Quantization for Image Super-ResolutionCode1
Super-Resolution for Interferometric Imaging: Model Comparisons and Performance Analysis—0
MambaLiteSR: Image Super-Resolution with Low-Rank Mamba using Knowledge Distillation—0
End-to-end pipeline for simultaneous temperature estimation and super resolution of low-cost uncooled infrared camera frames for precision agriculture applications—0
Accelerated Gradient-based Design Optimization Via Differentiable Physics-Informed Neural Operator: A Composites Autoclave Processing Case Study—0
VoLUT: Efficient Volumetric streaming enhanced by LUT-based super-resolution—0
Do Deepfake Detectors Work in Reality?—0
Super Resolution image reconstructs via total variation-based image deconvolution: a majorization-minimization approach—0
Data-driven Super-Resolution of Flood Inundation Maps using Synthetic SimulationsCode0
Image Super-Resolution with Guarantees via Conformalized Generative Models—0
Heterogeneous Mixture of Experts for Remote Sensing Image Super-ResolutionCode1
Quaternion-Hadamard Network: A Novel Defense Against Adversarial Attacks with a New Dataset—0
Deep EEG Super-Resolution: Upsampling EEG Spatial Resolution with Generative Adversarial Networks—0
Rapid Whole Brain Motion-robust Mesoscale In-vivo MR Imaging using Multi-scale Implicit Neural Representation—0
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision—0
Spatial Degradation-Aware and Temporal Consistent Diffusion Model for Compressed Video Super-Resolution—0
Fast Omni-Directional Image Super-Resolution: Adapting the Implicit Image Function with Pixel and Semantic-Wise Spherical Geometric PriorsCode0
AI-Driven HSI: Multimodality, Fusion, Challenges, and the Deep Learning Revolution—0
DiffNMR3: Advancing NMR Resolution Beyond Instrumental Limits—0
Bridging high resolution sub-cellular imaging with physiologically relevant engineered tissues—0
DC-VSR: Spatially and Temporally Consistent Video Super-Resolution with Video Diffusion Prior—0
One Diffusion Step to Real-World Super-Resolution via Flow Trajectory DistillationCode3
A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers—0
Low Resource Video Super-resolution using Memory and Residual Deformable Convolutions—0
BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-ResolutionCode1
Exploring Linear Attention Alternative for Single Image Super-ResolutionCode0
Visual Autoregressive Modeling for Image Super-ResolutionCode2
Rethinking the Upsampling Layer in Hyperspectral Image Super Resolution—0
Distillation-Driven Diffusion Model for Multi-Scale MRI Super-Resolution: Make 1.5T MRI Great AgainCode1
HSRMamba: Contextual Spatial-Spectral State Space Model for Single Image Hyperspectral Super-ResolutionCode1
MR imaging in the low-field: Leveraging the power of machine learning—0
Depth Separable architecture for Sentinel-5P Super-Resolution—0
Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration—0
Compensation based Dictionary Transfer for Similar Multispectral Image Spectral Super-resolution—0
Spatial-Angular Representation Learning for High-Fidelity Continuous Super-Resolution in Diffusion MRI—0
CausalSR: Structural Causal Model-Driven Super-Resolution with Counterfactual InferenceCode0
Efficient Attention-Sharing Information Distillation Transformer for Lightweight Single Image Super-ResolutionCode2
Can Location Embeddings Enhance Super-Resolution of Satellite Imagery?—0
Solving Turbulent Rayleigh-Bénard Convection using Fourier Neural OperatorsCode0
Dfilled: Repurposing Edge-Enhancing Diffusion for Guided DSM Void Filling—0
AnyEnhance: A Unified Generative Model with Prompt-Guidance and Self-Critic for Voice Enhancement—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified